{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from predictiveness_curve import plot_predictiveness_curve\n",
    "from sklearn.datasets import load_breast_cancer\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = load_breast_cancer()\n",
    "y = data.target\n",
    "X = data.data\n",
    "\n",
    "training_X, test_X, training_y, test_y = train_test_split(\n",
    "    X, y, test_size=0.5, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "clsf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "clsf.fit(training_X, training_y)\n",
    "probabilities = clsf.predict_proba(test_X)[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kjjez/4p9ILpG9hrQo8FSSSA0Tde5ZZI46noFwIVAnpntds79LbpG9g8iF42f3eDpJCHNWbcHgOZNEm3QFUlmdfo0OucWm9lY4E0zKwZuJjIm2dm6hjI5zFqzmyemr2Xcyd3p06G533FEPlfnHR7OuQ+B64EXUJEllfKKSu5+eTG92mXxk0v6+x1H5AuOumZmZlWH6TliF3AImGTRc42cc5fWsKyEwMw1u9m87zB/+tpJZGVqE1MSSzyfyJrWuqY1ZBBJfK99vIkWTdI0PLYkpKOWmXPuZi+CSGL78NOdvL5oC+PPyKGJjmJKAqrreWYpZpYSM93JzG41s9MaPpokij2HSvn+S4s5rmNz7j6/n99xRKpV1wMAbwHfBTCz5sB84DfAB2b29QbOJgnAOcePXl3C3qJSHh03lKYZWiuTxFTXMhsOvB+9fwVwAOhI5Psu727AXJIgXpi7kX+v2M6PxpzAgC6t/I4jUqO6lllz4MjXvp0P/CP6TUrvA30aMpj4r7CknAffXMEZx7XnltNz/I4jUqu6ltkG4HQzywIuAP4dfbwtUNSQwcR/Bw6Xcbisgq8O6awxyyTh1fVkoUeAvwKFwGfA9OjjXwGWNmAuEZE6qevlTH82swVEvsz33865yuisNcBPGjqciEi86nwat3NuPpGjmLGPvdVgiURE6iGey5nuAv7onCuO3q+Rc+6RBksmvtt5sARAJ8lKIMSzZvZd4FmgOHq/Jo7IPjUJiX8u3kJ6qnHW8fqCX0l88VzOlFPd/arMrHtDhRL/7S8q4/VFmxnVryOtm2X4HUfkqI55zOPoJU1/AFY3QB5JAM45/uf1pewrKuO7Zx/ndxyRuMRVZmbW2sz+ZmY7zWyLmf2XRfwUWAucCtzSqEnFM68v2sxbS7by3+cdz+Burf2OIxKXeI9m/oLIuWTPAmOA3wLnAVnAhc65DxonnvjhL9PXcWLnltx+li7qkOCIdzPzYuBm59zdwKWAAWucc2eryMJl9faDrNh6gGuGdyNVZ/1LgMRbZl2AFQDOubVEjmz+pbFCiX9mFuwC4IIBnXxOIlI38ZZZClAWM12BrsUMpQoX+a+GxZagifcTa8DzZlYSnW4C/MXMvlBo+g4AEfFLvGX2bJXp5xs6iIjIsYirzPQ9AMnDOed3BJF6OeaTZiVclm7eT6um6WRpeGwJGJWZfO5QSTnvLN/OxYM7k5aqj4YEiz6x8rl3VmzjcFkFlw3t6ncUkTrztMzMbIyZrTKzAjO7p5blrjQzZ2bDvcyX7F5fuIWurZsyvGcbv6OI1JlnZWZmqcBjwIVAf+A6M+tfzXItgDuBOV5lEzhYXMZHBbv46pAuGu9fAsnLNbMRQIFzbq1zrhSYDIytZrkHgV8RucpAPFJUWkFFpaNH22Z+RxGpFy/LrCuwMWZ6U/Sxz5nZSUB3DcPtPZ2RIUGXMNesmFkKkZFqb4pj2QnABIDs7Gzy8/OrXa6wsLDGeUHgZf6Pt5cDsGvDavIPrz3m5wvyex/k7BDs/MeU3TnnyQ0YCUyLmZ4ITIyZbgXsAtZHb8XAFmB4bc+bm5vrapKXl1fjvCDwMv+3n1/ghj3wjistr2iQ5wvyex/k7M4FO39t2YH5rpYu8HIzcx7Q18xyzCwDGAdMOTLTObffOdfeOdfLOdcLmA1c6iLfBiWN6GBxGe+u3M4lgzuTrvPLJKA8++Q658qBO4BpwErgJefccjN7wMx0gbqP/rVsGyXllVw2TOeXSXB5us/MOTcVmFrlsftqWHaUF5kkMkx2z3bNGNZdQ2RLcGmbIsltP1DMzDW7GTukC2Y6v0yCS2WW5KYs2oJzaBNTAk9lluReX7SZwd1a0btDc7+jiBwTlVkSK9hxkOVbDujCcgkFlVkSm7VmNwDnD8j2OYnIsVOZJbGKysg1TFkZCXMhiEi9qcxEJBRUZiISCiozEQkFlZmIhILKTERCQWUmIqGgMhORUFCZiUgoqMxEJBRUZiISCiozEQkFlZmIhILKLIltO1BCaoqRma6PgQSfPsVJqrLS8c/FWzjjuPY006gZEgIqsyS1YMNeNu87zGXDuvgdRaRBqMyS1OsLN9M0PZXz+3fyO4pIg1CZJaGyikreWrqV8/pnk5WpTUwJB5VZEtp/uIx9RWXk9mzjdxSRBqMyS2Ip+ppMCRGVWRLatr8YQEcxJVRUZkloyuItpKUYo0/o6HcUkQajMksyFZWOKYu2cNbxHWibleF3HJEGozJLMnPW7mbbgWIuG6Yv/pVwUZklmTcWbaF5Zhrnnqgv/pVwUZklmfW7D9G/S0uaZqT6HUWkQanMkpDOyJAwUpmJSCiozEQkFFRmIhIKKjMRCQWVmYiEgspMRELB0zIzszFmtsrMCszsnmrm32VmK8xsiZm9Z2Y9vcwnIsHlWZmZWSrwGHAh0B+4zsz6V1lsITDcOTcYeAX4tVf5RCTYvFwzGwEUOOfWOudKgcnA2NgFnHN5zrmi6ORsoJuH+UQkwLwss67AxpjpTdHHajIeeLtRE4lIaCTk6HxmdgMwHDirhvkTgAkA2dnZ5OfnV/s8hYWFNc4LgsbIv2/fYYBGf1+C/N4HOTsEO/8xZXfOeXIDRgLTYqYnAhOrWe5cYCXQMZ7nzc3NdTXJy8urcV4QNEb+qx+f6a55fGaDP29VQX7vg5zduWDnry07MN/V0gVebmbOA/qaWY6ZZQDjgCmxC5jZMODPwKXOuR0eZksKxWUVrNhygB5tm/kdRaTBeVZmzrly4A5gGpE1r5ecc8vN7AEzuzS62G+A5sDLZrbIzKbU8HRSD++t3EFhSbkGZpRQ8nSfmXNuKjC1ymP3xdw/18s8yWbuut1kZaRyau92fkcRaXC6AiCJVDrITE8lVd8xJyGkMksih8sq9F2ZEloqsyRRXlFJ/qodjMhp63cUkUahMksSM9fsZldhKWOHaue/hJPKLEl8tidyldiwHq19TiLSOFRmScb0dSYSUiozEQkFlZmIhILKLEls3hu5wDxN52ZISKnMksDijft48sO1XDy4M22yMvyOI9IoVGYht/NgCXdOXkjHFpn84rJBfscRaTQJOZ6ZNIzN+w5zw5Nz2H6ghOfGj6BVs3S/I4k0GpVZSK3dWcgNT87hYEk5z986gtyeOvNfwk1lFkLFZRV8868LKC6v5MUJI+nfpaXfkUQancoshH4xdSWf7ijkr+NHqMgkaegAQMgU7CjkuVmfMf6MHM7s28HvOCKeUZmFzL6iUgBG9VORSXJRmYVMaUWl3xFEfKEyC5GKSsdv/72a5plp9Mtu4XccEU/pAECI/Cm/gHnr9/LINUPo2LKJ33FEPKU1sxB5Ye5Gzuzbnsv17UuShFRmIVJR6ejSqilmuphcko/KLCT2FZVysLiMtFQVmSQnlVkIOOeY+NpSSisquW5ED7/jiPhCZRYCL8/fxNvLtnH3+f0Y2LWV33FEfKEyC7h1uw5x/z+Xc1qfdtx2Zm+/44j4RmUWYGUVldw5eSEZaSk8cs1QUjSKrCQxlVmArdhygCWb9nPPmBPo1ErnlUlyU5kFWIVzACoyEVRmgXa4tAKAVG1eiqjMguyd5dvISEthSHd9S7mIrs0MoMpKR96qHbyxeAvnntiRlk00tr+IyixAyioqeXPJFh7PX8uq7Qfp2rop3x51nN+xRBKCyiwAKiodf5+7gcfz17B532GOz27Ob68dwiWDu5Ceqj0FIqAyS3ib9hZx10uLmbtuD7k92/DA2AGM7tdR55SJVKEyS1DOOWZuKee7eR/igIevHsIVJ3XViBgiNVCZJZj9h8t4Y9Fm/j5nA59sK2F4zzb89tqhdG/bzO9oIgnN0zIzszHAo0Aq8KRz7pdV5mcCzwG5wG7gWufcei8z+sE5x8KN+3hhzgb+uWQLxWWVDOzakpsHZPDjr43UeWQicfCszMwsFXgMOA/YBMwzsynOuRUxi40H9jrnjjOzccCvgGu9yui1A8VlvLFwM3+bs4FPth2kWUYqlw/ryvUjejKoWyvy8/NVZCJx8nLNbARQ4JxbC2Bmk4GxQGyZjQXuj95/BfiDmZlz0et2QsA5x6KN+3hh7gb+uXgrh8sqGNClJf97+UAuHdKFFjpnTKRevCyzrsDGmOlNwCk1LeOcKzez/UA7YFddX2xGwS7eXlfG6pQ19Yzb8IrLKnl72TZWbj1As4xUxg7twvWn9GBQ11basS9yjAJ5AMDMJgATALKzs8nPz//SMs+vKOHdDeWw6hOP09WuZ8sUvtE/g1O7pNE0bQ97CvbwQUH1yxYWFlb7uwWBsvsnyPmPJbuXZbYZ6B4z3S36WHXLbDKzNKAVkQMBX+CcewJ4AmD48OFu1KhRX3qxkWdUkJc/nTPPPLNBwjcEM2iWEf9bnp+fT3W/WxAou3+CnP9YsntZZvOAvmaWQ6S0xgHXV1lmCvANYBZwFfB+ffeXZaal0iTNyMoM5MqniNSRZ//So/vA7gCmETk142nn3HIzewCY75ybAjwF/NXMCoA9RApPROSoPF1tcc5NBaZWeey+mPvFwNVeZhKRcNBVyiISCiozEQkFC/r5qGa2E/ishtntqcc5agkkyPmV3T9Bzl9b9p7OuQ41/WDgy6w2ZjbfOTfc7xz1FeT8yu6fIOc/luzazBSRUFCZiUgohL3MnvA7wDEKcn5l90+Q89c7e6j3mYlI8gj7mpmIJIlQlJmZjTGzVWZWYGb3VDM/08xejM6fY2a9vE9ZvTiy32VmK8xsiZm9Z2Y9/chZk6Plj1nuSjNzZpYwR9niyW5m10Tf/+Vm9nevM9Ykjs9NDzPLM7OF0c/ORX7krI6ZPW1mO8xsWQ3zzcx+H/3dlpjZSXE9sXMu0Dci13muAXoDGcBioH+VZb4NPB69Pw540e/cdcg+GmgWvf+tRMkeb/7oci2A6cBsYLjfuevw3vcFFgJtotMd/c5dh+xPAN+K3u8PrPc7d0y2rwAnActqmH8R8DZgwKnAnHieNwxrZp+PYOucKwWOjGAbayzwbPT+K8A5lhijIR41u3MuzzlXFJ2cTWTopEQRz3sP8CCRIdCLvQx3FPFkvw14zDm3F8A5t8PjjDWJJ7sDWkbvtwK2eJivVs656UQGkqjJWOA5FzEbaG1mnY/2vGEos+pGsO1a0zLOuXLgyAi2fosne6zxRP5iJYqj5o9uInR3zr3lZbA4xPPeHw8cb2YzzGx29At5EkE82e8HbjCzTUQGd/iuN9EaRF3/XQABHWk2GZnZDcBw4Cy/s8TLzFKAR4CbfI5SX2lENjVHEVkjnm5mg5xz+3xNFZ/rgEnOuYfNbCSRobUGOucq/Q7WWMKwZlaXEWypbQRbH8STHTM7F7gXuNQ5V+JRtngcLX8LYCCQb2briez/mJIgBwHiee83AVOcc2XOuXXAaiLl5rd4so8HXgJwzs0CmhC57jEI4vp38SV+7wxsgJ2JacBaIIf/7AwdUGWZ7/DFAwAv+Z27DtmHEdnZ29fvvPXJX2X5fBLnAEA87/0Y4Nno/fZENn3aBST728BN0fsnEtlnZn5nj8nXi5oPAFzMFw8AzI3rOf3+pRrojbmIyF/NNcC90cceILImA5G/Si8DBcBcoLffmeuQ/V1gO7Aoepvid+a65K+ybMKUWZzvvRHZTF4BLAXG+Z25Dtn7AzOiRbcION/vzDHZXwC2AmVE1n7HA7cDt8e8749Ff7el8X5mdAWAiIRCGPaZiYiozEQkHFRmIhIKKjMRCQWVmYiEgspMREJBZSYioaAyE5FQUJmJSCiozEQkFFRmIhIKKjMRCQWVmYiEgspMREJBZSYioaAyE5FQUJmJSCiozEQkFFRmIhIKKjMRCQWVmYiEgspMREJBZSYioaAyE5FQUJmJSCiozEQkFFRmIhIKKjMRCQWVmYiEgspMREJBZSYioaAyE5FQUJmJSCiozEQkFNL8DnCs2rdv73r16lXtvEOHDpGVleVtoAYU5PzK7p8g568t+4IFC3Y55zrU+MPOuUDfcnNzXU3y8vJqnBcEQc6v7P4Jcv7asgPzXS1doM1MEQkFz8rMzJ42sx1mtqyG+WZmvzezAjNbYmYneZVNRILPyzWzScCYWuZfCPSN3iYAf/Igk4iEhGcHAJxz082sVw+1wlIAACAASURBVC2LjAWei24bzzaz1mbW2Tm3tT6vV1JeQXG541BJeX1+PCE0Zv7UFKNJemqjPLeIHxLpaGZXYGPM9KboY/Uqs4emfsKkmUXw7rSGyOafRsz/9E3DOfuE7EZ7fhEvJVKZxc3MJhDZFCU7O5v8/PwvLdOxrILLejkyMzM9TtdwSkpKGiX/gVLH2+vKuGXSfHq2TKF3qxRu7J9BilmDvUZhYWG1/1+CIMjZIdj5jyV7IpXZZqB7zHS36GNf4px7AngCYPjw4W7UqFFfWmYUkJ+fT3XzgqKx8ldWOn78xjK27y9m6/5i8jYeoLxJa35ySX+Oz27RIK8R5Pc+yNkh2PmPJXsildkU4A4zmwycAuyv7/4yqV1KivGLywcBkfMM7355Ca9+vInr/zKHR64Zwpl922MNuJYm4gUvT814AZgF9DOzTWY23sxuN7Pbo4tMBdYCBcBfgG97lS2ZmRkPXzOEV781kj2HSvj603N5btZnfscSqTMvj2Zed5T5DviOR3GkityebZl5zzl8+28L+NW/PmHciO5kpulopwSHrgCQz3Vq1YSLB3ehqLSC255bwM6DJX5HEolbIu0zkwRw1vEdWDCoE++t3MFFv/+QiwZ2+sL+swsGdGJkn3Y+JhSpnspMvuC4js3549dyWbn1AD98ZQmvL9ry+byS8gpemr+Rf935FXq0a+ZjSpEvU5lJtU7s3JJ/fveMLzy2ed9hxvx2Olc9PpPfXzeMU3trDU0Sh/aZSdy6tm7Ki98cSfPMNL725By27DvsdySRz6nMpE76d2nJvRefSEWl49onZvHgmyv8jiQCqMykHob1aMMVJ3WlosLxzoptfscRAVRmUg9tszJ45JqhnNq7HRv3HNYpHJIQVGZSb62apQNwxZ9mUFQa3KGWJBxUZlJv/3PRiTx89RA27jnMX3UJlPhMZSb1lp6awpW53TCDh97+hLMfzmf8pHlErkwT8ZbOM5Njdvf5/Vi59QAFOwp575MdlFWozMR7KjM5Zt8ZfRwAj+UV8Mm2VazYesDnRJKMtJkpDaZNswwALntsBm8UlFJRqTU08Y7KTBrMdSO6k3f3KC4f1pV/FJTx9zk6KCDeUZlJgzEzctpn8cg1Q0gxWL+7yO9IkkS0z0wanJkxoF0qT89YR0Wl496LTyQ9VX83pXHpEyaN4qYBGTgHk2au55UFm/yOI0lAZSaNol3TFF765kgAJr62lNlrd/ucSMJOZSaNZkROW/LuHkXX1k354StLdMmTNCqVmTSqIwcENuwp4o95a/yOIyGmAwDS6E7p3Y6+HZvzj4Wb2bq/mJZN0/jRmBNokq5vf5KGozUz8cQZfdsDMGvNLp6ZsZ5XP9ZBAWlYKjPxxE+/OoAZ95zNjHvOZlDXVjz10ToqdYWANCCVmXjKzLj1zBzW7jxE/uodfseREFGZiecuGtSZTi2b8MyM9X5HkRBRmYnn0lNTuObk7swo2MWOg8V+x5GQUJmJLy4Z3JlKB9OW6QtRpGGozMQXx2e3oEurJrz68WYdCJAGoTIT37RulsGijfsY95fZbD+gzU05Nioz8c3vxg3lfy46gaWb9nPRox+ybPN+vyNJgKnMxDfHZ7dgwlf6MOWO08lMS+GGp+ao0KTeVGbiu77ZLZg8YSTN0lO54ak5rNR3CEg9qMwkIfRo14zJE0ZSUeF48sN1fseRAFKZScLo0a4Z7VtkUlZR6XcUCSCVmYiEgspMEs789Xv43uSF5K3aoW9Hl7h5WmZmNsbMVplZgZndU838HmaWZ2YLzWyJmV3kZT7x37kndqRZZhoffrqLm5+Zx2V/nKlSk7h4NjijmaUCjwHnAZuAeWY2xTm3ImaxHwMvOef+ZGb9galAL68yiv/uvbg/914MpeWVvPrxJv7wfgE3PzOPId1b871z+zK6X0e/I0qC8nLNbARQ4Jxb65wrBSYDY6ss44CW0futgC0e5pMEkpGWwnUjepB39ygeumIQuw6WcPMz88hfpWGDpHpelllXYGPM9KboY7HuB24ws01E1sq+6000SVRHSu39u8+iTbN0/rFws9+RJEEl2ncAXAdMcs49bGYjgb+a2UDn3BeO1ZvZBGACQHZ2Nvn5+dU+WWFhYY3zgiDI+Rsj+6C2jmlLt/BOh31kpFqDPnesIL/vEOz8x5TdOefJDRgJTIuZnghMrLLMcqB7zPRaoGNtz5ubm+tqkpeXV+O8IAhy/sbI/sGqHa7nj95005ZtbfDnjhXk9925YOevLTsw39XSBV5uZs4D+ppZjpllAOOAKVWW2QCcA2BmJwJNgJ0eZpQENrJPO9o0S+etpVv9jiIJyLMyc86VA3cA04CVRI5aLjezB8zs0uhi3wduM7PFwAvATdFGFiE9NYULBnTivZU7KC6r8DuOJBhP95k556YS2bEf+9h9MfdXAKd7mUmC5aJBnZk8byPTV+/k/AGd/I4jCURXAEigHNnUnLJYZ+3IF6nMJFDSU1O4Znh33lyylTlrd/sdRxKIykwC585z+9KzXTN+8MoSikrL/Y4jCUJlJoHTLCONX185mA17ivj1v1b5HUcShMpMAumU3u246bReTJq5nvdWbvc7jiQAlZkE1g/H9GNg15bc8feFLN64z+844jOVmQRWs4w0nr7pZNo1z+CWSfNYv+uQ35HERyozCbSOLZrw7C0jqHSObzwzl12FJX5HEp+ozCTw+nRozpPfOJlt+4u58NEPeX3hZg3mmIRUZhIKuT3b8Mrtp9GlVRO+9+Iirn1iNqu2HfQ7lnhIZSahMahbK/7x7dN56IpBrN5+kIt+/yEPvrmCg8VlfkcTD6jMJFRSUiwyQu33R3Htyd15esY6zn74A216JgGVmYRSm6wMfnH5IF7/9ulf2PT8dLs2PcNKZSahNqR76883PT/dfpBvPD3X70jSSFRmEnpHNj2/M/o4tuwvZs+hUr8jSSNQmUnS6NOxOQBrdxb6nEQag8pMkkaf9pEyW6MyCyWVmSSNrm2akpGWwtqduuwpjFRmkjRSU4ycdlmsUZmFkspMkkrvDlnaZxZSKjNJKn06NGfDniLKKiqPvrAEispMkkrvDlmUVzo+213kdxRpYCozSSq9O+j0jLBSmUlS6d0hC4C1GsgxdFRmklRaNkmnQ4tM1uzQmlnYqMwk6fRun6U1sxBSmUnS6dOxua4CCCGVmSSd3u2z2FdUpgvOQ0ZlJkmnj45ohpLKTJLOkTKbt36vz0mkIanMJOl0b9uUM/u25//e/5SNe3TybFiozCTpmBm/vHIwKWb88JUlVFbquwHCQGUmSalr66bce/GJzFq7m7/N+czvONIAVGaStMad3J0z+7bnobc/0eZmCKjMJGlpczNcVGaS1LS5GR5pfgcQ8du4k7szdelWHnr7EzbsKWLjxlJmFq0EIC3FGHdyD3q0a+ZzSjkalZkkvSObmzc+NYfnZ2+gorKC1M2RtbTSikr+PncDj11/Eqcf197npFIbT8vMzMYAjwKpwJPOuV9Ws8w1wP2AAxY75673MqMkp66tm/L+90cBkJ+fz6hRkfuf7T7Erc/O5+tPz+UnF5/IN07rhZn5F1Rq5Nk+MzNLBR4DLgT6A9eZWf8qy/QFJgKnO+cGAN/zKp9IdXq2y+K1b5/G6H4duP+fK5j42lJKyzXkdiLy8gDACKDAObfWOVcKTAbGVlnmNuAx59xeAOfcDg/ziVSrRZN0nrhxOHeMPo7J8zZy/V9ms/Ngid+xpAovy6wrsDFmelP0sVjHA8eb2Qwzmx3dLBXxXUqKcfcF/fi/64axbMt+xv7hI5Zt3u93LIlhznlzbo2ZXQWMcc7dGp2+ETjFOXdHzDJvAmXANUA3YDowyDm3r8pzTQAmAGRnZ+dOnjy52tcsLCykefPmjfDbeCPI+cOcff3+Cn6/sITCUsf4QZmc0jmxjqOF9b0fPXr0Aufc8Bp/2DnnyQ0YCUyLmZ4ITKyyzOPAzTHT7wEn1/a8ubm5riZ5eXk1zguCIOcPe/YdB4rdlX+c4Xr+6E33m3994ioqKhs/WJzC+t4D810tXeDlZuY8oK+Z5ZhZBjAOmFJlmdeBUQBm1p7IZudaDzOKxKVDi0z+dtspXDu8O3/IK+CHry458gdYfOLZ+rFzrtzM7gCmETk142nn3HIze4BI406JzjvfzFYAFcAPnHO7vcooUheZaan88spBdGrVhEff+5T2zTO558IT/I6VtDzd2HfOTQWmVnnsvpj7DrgrehNJeGbG987ty55DpTz+wRraN8/g1jN7+x0rKSXWnkuRADIz7r90ALsPlfDzt1bSrnkGlw/r5nespKMyE2kAqSnGb68dyr6iefzg5SW0bpbB6H4d/Y6VVDRqhkgDyUxL5c835tKvUwu+/fzHLNyg7xjwkspMpAG1aJLOpJtH0LFlJjdPmkfBjoN+R0oaKjORBtahRSbP3TKCtJQUvv7UXLbuP+x3pKSgMhNpBD3bZTHp5pM5UFzO15+ay74ifeFwYzvmMjOzUxsiiEjYDOzaiie+nstnu4sY/+x8DpdW+B0p1OIqMzNrbmZNqzw2zMzeAmY0SjKREDitT3seHTeUjzfs5Tt//5iyCg0f1FhqLTMz62ZmM4D9wH4ze8TMmprZM8Bc4DBwhgc5RQLrwkGdeXDsQN7/ZAf3vLpUlz01kqOdZ/ZLoDlwJ3Bl9L9nAkuBfs45XTcpEocbTu3JrsISfvfup7RvkcHEC0/0O1LoHK3MRgPXOOdmmNkrwBbgVVfNcNciUrs7z+nLrsIS/vzBWjo0z9RlTw3saGXWCVgD4JzbZmaHgTcaPZVICJkZP7t0IHsOlfLzt1bStXVTLhzU2e9YoRHPAYDYQzCVQHEjZREJvdQU45FrhjKsR2v++6VFLNm07+g/JHE5WpkZ8IGZLTGzJUBT4O0j0zGPi0icmqSn8sSNw2mXlcmtz87XSbUN5GibmT+rMv1qYwURSSYdWmTy9E0nc+WfZjJ+0nxevn0kWZka9+FY1PruOeeqlpmINJB+nVrwf9cNY/yz87hz8iL+fGMuqSn6Ts76Ouo+MzM7xcz+18x+bWbnexFKJFmMPqEjP7mkP++u3M6v//WJ33ECrdY1MzO7HHgZKCHyrUnfN7PvO+d+50U4kWRw02m9WLvzEH+evpbeHbK49uQefkcKpKOtmf0PMAlo5ZxrDfwU+HFjhxJJJmbGT7/anzP7tufefyxj1hp97UV9HK3M+gG/ds6VR6d/A7SOfnOSiDSQtNQU/nD9SfRqn8Xtzy9g7c5CvyMFztHKrDnw+YkwzrkSItdjtmzMUCLJqFXTdJ7+xsmkGIx/dr6GDaqjeE6avdjMrjhyi/7MBVUeE5EG0KNdM574+nA27z3Mt57/mNJyjbIRr3hObHmqmscei7nviHwPpog0gJN7teWXVw7irpcW85PXl/HLKwdhplM2juZo55lpJFoRH1xxUjfW7jzEH/IK6NMxiwlf6eN3pIR3tPHMnjazFl6FEZH/uOu847loUCceevsT3lm+ze84Ce9oa17fIHI9poh4LCXFePjqoQzu2oo7Jy9i2eb9fkdKaPFcaC4iPmmakcpfvj6c1s3SufXZ+Ww/oEFrahLPPjGN8Svio44tm/DkN4ZzoLiM257TF6PUJJ4y22ZmFbXdGj2lSJIb0KUVj44bxtLN+7nrpUVUVmodo6p4Ts2YQMyJsyLij/P6Z/M/F57I/05dyT2vLeGu8/rRqVUTv2MljHjK7J/OuR2NnkREjurWM3PYcbCYJz9ax2sfb+biwZ255fQchnRv7Xc03x2tzLQuK5JAzIx7L+7Pjaf24tlZ63lx3kbeWLSF3J5tuOX0HC4YkO13RN8crcx0NFMkAfVo14yfXNKf753bl5fnb2LSzPV85+8f07V1U87IrmDYKWW0aprud0xP1XoAwDmXok1MkcTVokk6t5yRQ97do3jixly6t23Ki6tKGfnQe9z3xrKkGn1Dg46LhEBqinH+gE6cP6ATz055jyXF7Zk8dyPPzfqMc07oyC1n5HBan3ahvsZT116KhEzPlqk8fM0QPrpnNHee05dFG/fxtSfnMOZ3H/LivA0Ul4XzbCqVmUhIdWzRhP8+73hm3HM2v7lqMGbwo1eXctov3+eRd1axI2RXE2gzUyTkmqSncvXw7lyV241Za3fz9Efr+b+8Av70wRq+OrgLt5yRw8CurfyOecw8LTMzGwM8SmT8syedc7+sYbkrgVeAk51z8z2MKBJaZsZpfdpzWp/2rN91iEkz1/PS/I28tnAzI3LacsvpOZzXPzuwX3fn2WammaUSGdTxQqA/cJ2Z9a9muRbAncAcr7KJJJte7bO4/9IBzJp4Dj+++EQ27z3M7c8v4Kzf5PHkh2s5UFzmd8Q683Kf2QigwDm31jlXCkwGxlaz3IPAr4BwbdCLJKBWTdO59czefPCDUTx+w0l0btWEn7+1ktMeep+f/XM5n+0+5HfEuHm5mdkV2BgzvQk4JXYBMzsJ6O6ce8vMfuBhNpGklpaawpiBnRkzsDNLNu3jmRnr+eusz5g0cz3nnpjN+DNyOCWnbUKf2mHOeXPFkpldBYxxzt0anb4ROMU5d0d0OgV4H7jJObfezPKBu6vbZ2ZmE4hcAE92dnbu5MmTq33NwsJCmjdv3hi/jieCnF/Z/dNQ+fcWV/L+hnLyNpZRWAY9WqRwfq80TumcRnoj7VerLfvo0aMXOOeG1/jDzjlPbsBIYFrM9ERgYsx0K2AXsD56Kwa2AMNre97c3FxXk7y8vBrnBUGQ8yu7fxo6/+HScvfCnM/ceY/ku54/etPlPvhv97t/r3Y7DxY36Os4V3t2YL6rpQu83MycB/Q1sxxgMzAOuP7ITOfcfuDzLxeubc1MRLzTJD2VcSN6cO3J3fmoYBdPf7SO3767msfyChg7tAs3n55D/y7+f5WuZ2XmnCs3szuAaUROzXjaObfczB4g0rhTvMoiInVnZpzZtwNn9u3Amp2FPDNjHa8u2MzLCzYxsnc7xp+Rw9kndCTFp1M7PD3PzDk3FZha5bH7alh2lBeZRKTu+nRozs8vG8Td5/dj8ryNPDtzPbc+N59e7Zpx02m9uGp4d5pnentOvi5nEpF6a90sg9vP6sP0H47mD9cPo01WBvf/cwUjH3qP/31rBRv3FHmWRZczicgxS09N4ZLBXbhkcBc+3rCXZ2as5+kZ63nqo3VcMKATt5yRw/CebRr11A6VmYg0qJN6tOGkHm2YeOEJPDfrM16Yu4G3l21jcLdW3HJ6DhcN6kxGWsNvFGozU0QaRZfWTbnnwhOYNfFsfn7ZQApLyvnei4s441fv84f3P2XPodIGfT2tmYlIo2qWkcYNp/bk+hE9mP7pTp76aB3/753V/N/7BVxxUlduPj2H47NbHPPrqMxExBMpKcaofh0Z1a8jq7cf5JkZ63nt4028MHcjZ/Ztzy2n5xw5gb5+z9+AWUVE4nJ8dgseumIQsyaeww8u6Mfq7Qe5edI8HphVXO8vONaamYj4pm1WBt8ZfRy3ndmbt5dtZc6iFfU+6VZlJiK+y0hLYezQrrTa92m9n0ObmSISCiozEQkFlZmIhILKTERCQWUmIqGgMhORUFCZiUgoqMxEJBRUZiISCiozEQkFlZmIhILKTERCQWUmIqGgMhORUFCZiUgoqMxEJBRUZiISCiozEQkFlZmIhILKTERCQWUmIqGgMhORUFCZiUgoqMxEJBRUZiISCiozEQkFlZmIhILKTERCwdMyM7MxZrbKzArM7J5q5t9lZivMbImZvWdmPb3MJyLB5VmZmVkq8BhwIdAfuM7M+ldZbCEw3Dk3GHgF+LVX+UQk2LxcMxsBFDjn1jrnSoHJwNjYBZxzec65oujkbKCbh/lEJMC8LLOuwMaY6U3Rx2oyHni7UROJSGik+R2gOmZ2AzAcOKuG+ROACQDZ2dnk5+dX+zyFhYU1zguCIOdXdv8EOf8xZXfOeXIDRgLTYqYnAhOrWe5cYCXQMZ7nzc3NdTXJy8urcV4QBDm/svsnyPlryw7Md7V0gZebmfOAvmaWY2YZwDhgSuwCZjYM+DNwqXNuh4fZRCTgPCsz51w5cAcwjcia10vOueVm9oCZXRpd7DdAc+BlM1tkZlNqeDoRkS/wdJ+Zc24qMLXKY/fF3D/XyzwiEh66AkBEQkFlJiKhoDITkVBQmYlIKKjMRCQUVGYiEgoqMxEJBZWZiISCykxEQkFlJiKhoDITkVBQmYlIKKjMRCQUVGYiEgoqMxEJBZWZiISCykxEQkFlJiKhoDITkVBQmYlIKKjMRCQUVGYiEgoqMxEJBZWZiISCykxEQkFlJiKhoDITkVBQmYlIKKjMRCQUVGYiEgoqMxEJBZWZiISCykxEQkFlJiKhoDITkVBQmYlIKKjMRCQUVGYiEgqelpmZjTGzVWZWYGb3VDM/08xejM6fY2a9vMwnIsHlWZmZWSrwGHAh0B+4zsz6V1lsPLDXOXcc8FvgV17lE5Fg83LNbARQ4Jxb65wrBSYDY6ssMxZ4Nnr/FeAcMzMPM4pIQHlZZl2BjTHTm6KPVbuMc64c2A+08ySdiARamt8B6sPMJgATALKzs8nPz692ucLCwhrnBUGQ8yu7f4Kc/5iyO+c8uQEjgWkx0xOBiVWWmQaMjN5PA3YBVtvz5ubmuprk5eXVOC8Igpxf2f0T5Py1ZQfmu1q6wMvNzHlAXzPLMbMMYBwwpcoyU4BvRO9fBbwf/SVERGrl2Wamc67czO4gsvaVCjztnFtuZg8QadwpwFPAX82sANhDpPBERI7K031mzrmpwNQqj90Xc78YuNrLTCISDroCQERCQWUmIqFgQd+/bmY7gc9qmN2eyBHRoApyfmX3T5Dz15a9p3OuQ00/GPgyq42ZzXfODfc7R30FOb+y+yfI+Y8luzYzRSQUVGYiEgphL7Mn/A5wjIKcX9n9E+T89c4e6n1mIpI8wr5mJiJJIhRlFuQRbOPIfpeZrTCzJWb2npn19CNnTY6WP2a5K83MmVnCHGWLJ7uZXRN9/5eb2d+9zliTOD43Pcwsz8wWRj87F/mRszpm9rSZ7TCzZTXMNzP7ffR3W2JmJ8X1xLVdhR6EG5HrPNcAvYEMYDHQv8oy3wYej94fB7zod+46ZB8NNIve/1aiZI83f3S5FsB0YDYw3O/cdXjv+wILgTbR6Y5+565D9ieAb0Xv9wfW+507JttXgJOAZTXMvwh4GzDgVGBOPM8bhjWzII9ge9Tszrk851xRdHI20M3jjLWJ570HeJDIEOjFXoY7iniy3wY85pzbC+Cc2+FxxprEk90BLaP3WwFbPMxXK+fcdCIDSdRkLPCci5gNtDazzkd73jCUWZBHsI0ne6zxRP5iJYqj5o9uInR3zr3lZbA4xPPeHw8cb2YzzGy2mY3xLF3t4sl+P3CDmW0iMrjDd72J1iDq+u8CCOhIs8nIzG4AhgNn+Z0lXmaWAjwC3ORzlPpKI7KpOYrIGvF0MxvknNvna6r4XAdMcs49bGYjiQytNdA5V+l3sMYShjWzzUD3mOlu0ceqXcbM0oisdu/2JF3t4smOmZ0L3Atc6pwr8ShbPI6WvwUwEMg3s/VE9n9MSZCDAPG895uAKc65MufcOmA1kXLzWzzZxwMvATjnZgFNiFz3GARx/bv4Er93BjbAzsQ0YC2Qw392hg6ossx3+OIBgJf8zl2H7MOI7Ozt63fe+uSvsnw+iXMAIJ73fgzwbPR+eyKbPu0Ckv1t4Kbo/ROJ7DOrdQh6j3+HXtR8AOBivngAYG5cz+n3L9VAb8xFRP5qrgHujT72AJE1GYj8VXoZKADmAr39zlyH7O8C24FF0dsUvzPXJX+VZROmzOJ8743IZvIKYCkwzu/MdcjeH5gRLbpFwPl+Z47J/gKwFSgjsvY7HrgduD3mfX8s+rstjfczoysARCQUwrDPTEREZSYi4aAyE5FQUJmJSCiozEQkFFRmgpmtN7O741x2kpm92diZgiA6CshVNU2Lt1RmIRYtHhe9lZvZBjP7k5m1qbLoycAf/cgYBLUUeGfgn17nkerp2szwexe4kcj/6/7A00BrItfuAeCc2+lPtPqLXpZW4Xw8UdI5t82v15Yv05pZ+JU457Y55zY5594BXgTOj12g6mammX3TzFabWbGZ7TKzadHy+BIzG2JmW83sf2sKEF0zvMPM3jKzIjP7LHrhfOwyXc1sspntjd7eMrO+MfPvN7NlZnaTma0BSoCs6EB+3zezT82sxMw2mdlD9XjecWa2xswOmtnrZtb+yHzgG8DFMWu5o2J+rxo3K+N47e5m9oaZ7Ym+L5+Y2biank9qpzJLImbWm8j1hmW1LDOcyKUkPwP6AecA/6ph2TOJXKL0a+fcvUd5+Z8BU4ChRAYOfO7IBedm1gzIIzLe2VnASCKXu7wbnXdEDnA9cDUwJLr8L4CfAA8BA6LzNtbxeXsB1wKXEyn6YcCRcv5/RC7YfpfIZmVnYOZRftd4X/uPQDMiA3AOAL4HBGFEjsTk93VaujXqNXCTgHKgEDhMZMA+B/x3leXWA3dH719BZLy3FrU855vAJcAB4Otx5HDAX6o89i7wfPT+LcCnxFwITWQ01d3ANdHp+4mUcHbMMs2JlMXtNbxuvM9bDLSKWeZeIoMffuF3ruH3uqq66ThfewnwU78/J2G5aZ9Z+E0HJgBNiYyc2gf4fS3L/xv4DFhnZtOAd4DXnHMHY5bJBf4BXO+ceznOHLOqmb445vlygINVBgBuFs17xCbn3PaY6f5AJvBeDa8Z7/N+5pzbHzO9BehY428Sn3he+1Hg8eigj+8B/3DOLTjG101aKrPwK3LOFUTv/5eZ5RHZLLu/uoWdcwejo8N+BTgPmAj8wsxOds4dGXp5HbADuNnMprhjH2MthcjIDtXtL4odXvlQIz1v1c1ux7Hvgjnqazvnnor+wbgIOBeYE9leAwAAAdhJREFUaWYPOefuP8bXTkraZ5Z8fgb8yMy61LSAc67cOfe+c24iMBjIIrJZecQeIvvSugL/MLPMOF731GqmV0bvfwwcB+xyzhVUudU2VvxKIgcCzqlhfn2ft6pSIpuIdRHXa7vIgZknnHPXAPcRWYuWelCZJRnnXD6R8bl+XN18M7vEzO40s2EW+Vq764mMGLsydjnn3C4iJdINeC2OQrvCzG4zs75mNjH6s7+LzvsbkTHb3jCzs8wsx8y+YmYPxx79q+Z3OUhkU+0hM7vZzPqY2Qgz+9axPG811gMDzayfmbU3s/Q4fuaor21mj1rkK+N6m9lQIgdnVtQhl8RQmSWnh/9/e3eIm0AUxGH8W27AeXA9AQlBE1IMvgZBwh2QXAFOgES2B0D1AgiqsIOYFYQ0WZqGkEy+n96dfWv+ee+JGeC9+X0G5w8wJC/oj8AHMIuIw/2DbaC9kS2Odx2BtgJG5KX3HJhGxGdb50Iea7/JJppHcppWHzh3/MuCnPy0JAN3RzvB6p91b23a2l/ACRh0vfDgt3vAmgywPRl+kz+sSzdszqina5omgHFEbF+9FtXlzkxSCYaZpBI8ZkoqwZ2ZpBIMM0klGGaSSjDMJJVgmEkqwTCTVMIVaUqd+yoNaekAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 324x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plot_predictiveness_curve(risks=probabilities, labels=test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 324x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plot_predictiveness_curve(risks=probabilities, labels=test_y, kind='EF',\n",
    "                                top_ylabel='Probability', bottom_ylabel='Enrichment Factor')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
